Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/23473
Type: Artigo de periódico
Title: Redes neurais e suas aplicações em calibração multivariada
Title Alternative: Neural networks and its applications in multivariate calibration
Author: Cerqueira, Eduardo O. de
Andrade, João C. de
Poppi, Ronei J.
Mello, Cesar
Abstract: Neural Networks are a set of mathematical methods and computer programs designed to simulate the information process and the knowledge acquisition of the human brain. In last years its application in chemistry is increasing significantly, due the special characteristics for model complex systems. The basic principles of two types of neural networks, the multi-layer perceptrons and radial basis functions, are introduced, as well as, a pruning approach to architecture optimization. Two analytical applications based on near infrared spectroscopy are presented, the first one for determination of nitrogen content in wheat leaves using multi-layer perceptrons networks and second one for determination of BRIX in sugar cane juices using radial basis functions networks.
Subject: neural networks
backpropagation
radial basis functions
multivariate calibration
Editor: Sociedade Brasileira de Química
Rights: aberto
Identifier DOI: 10.1590/S0100-40422001000600025
Address: http://dx.doi.org/10.1590/S0100-40422001000600025
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422001000600025
Date Issue: 1-Dec-2001
Appears in Collections:Unicamp - Artigos e Outros Documentos

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